Subquadratic vs Hook Lab
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Subquadratic compared with Hook Lab
| Detail | 
Subquadratic | 
Hook Lab |
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| What it does | Efficiency is Intelligence
| AI Video Hook Optimizer for short-form content
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| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Paid
| Freemium
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| Daily: USD 1.99, Weekly: USD 4.99, Monthly: USD 9.99. Free agents available: Transcript Clip Map and Hook Grader.
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| Key features | - 384K token context window
- Multimodal input support
- 100K tokens processed in less than a second
- Structured output for direct code use
- Subquadratic Sparse Attention algorithm for efficient compute
- $0.04 per 1M tokens pricing
- Customer content not used for model training
- Data retention limited to 60 days
| - Generates 5+ scroll-stopping hook options with spoken lines and on-screen text
- Provides clear positioning angle for content strategy
- Creates beat-by-beat scripts with timecodes
- Organizes hooks by type for A/B testing
- Recommends strongest hook with reasoning
- Works from text input only, no account access required
- Powered by Claude Sonnet 5
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| What makes it different | - First long-context decision model purpose-built for enterprise work
- Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs
- Tied for #1 on Artificial Analysis Decision Index
- Processes entire codebase or data room in single context window
- Speeds agent reasoning from minutes to seconds
| - First-3-seconds focus optimizes the moment that actually decides retention
- Varied hook types for A/B testing, not one generic opener
- Delivers finished, filmable scripts instead of generic advice
- Trend-informed topic ideas based on positioning angle
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 51 ▼ −1 (down) since last check | 39 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 7 |
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| Citation Flow (Majestic) | 37 | 34 |
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| Referring domains (Majestic) | 654 | 160 |
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5 details filled in for both companies.
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